Outer Loop Link Adaptation Initial Value Determination
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Solution Overview
Problem
Existing outer loop link adaptation (OLLA) methods in wireless communication systems face inefficiencies due to a fixed initial OLLA value, which fails to accurately reflect varying wireless environments, leading to prolonged convergence times and reduced performance, especially in small packet services with limited data for adjustment.
Innovation Solution
The method determines an initial OLLA adjustment amount based on SINR measurement errors and channel quality fluctuations, considering the specific channel conditions of each terminal device, allowing for more accurate adjustments and faster convergence.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If a fixed initial OLLA value is used, then the system is simple to implement, but the convergence time is prolonged and system performance is reduced
Solution Approach 1:
The patent applies preliminary action by pre-calculating and storing OLLA initial values in a lookup table based on different channel quality conditions (SINR ranges) before actual communication occurs. When a terminal device needs OLLA adjustment, the base station quickly retrieves the appropriate initial value from the pre-computed table based on the current channel quality, avoiding time-consuming real-time calculations and accelerating convergence while maintaining implementation simplicity.
Solution Approach 2:
The patent implements dynamics by making the initial OLLA value adaptive rather than fixed. The system dynamically selects different initial OLLA values from the lookup table based on the actual channel quality conditions (different SINR ranges). This allows the OLLA adjustment to start from an optimized initial point tailored to current channel conditions, significantly reducing convergence time compared to using a single fixed initial value for all scenarios.
2Ease of operation
If a fixed initial OLLA value is used, then the system is easy to operate, but it cannot adapt to different wireless environments
Solution Approach 1:
The patent applies segmentation by dividing the continuous channel quality space into discrete SINR ranges (e.g., -5 to 5, 5 to 15, 15 to 25, 25 to 35 dB). Each range corresponds to a specific initial OLLA value stored in the lookup table. This segmentation allows the system to handle different wireless environments with appropriate specialized values while maintaining operational simplicity through table-based lookup rather than complex real-time analysis.
Solution Approach 2:
The patent implements parameter changes by varying the initial OLLA value parameter based on channel quality conditions. Instead of using a single fixed parameter value, the system changes the initial OLLA parameter to match the current wireless environment (selected from the lookup table based on SINR range). This enables the system to adapt to different environments while keeping the operation simple through automated parameter selection.
3Device complexity
If a fixed initial OLLA value is used, then the system structure is simple, but AMC performance is greatly reduced for small packet services
Solution Approach 1:
The patent applies preliminary action by pre-computing optimal initial OLLA values for different channel quality scenarios and storing them in a lookup table before actual communication. For small packet services where convergence time is critical, the base station retrieves the appropriate pre-computed initial value based on measured SINR, enabling fast and accurate link adaptation without requiring complex real-time optimization algorithms, thus maintaining simple system structure while improving AMC performance.
Solution Approach 2:
The patent implements parameter changes by selecting different initial OLLA parameter values based on channel quality conditions. For small packet services operating in various SINR ranges, the system changes the initial OLLA parameter to match the current environment, enabling reliable transmission without sacrificing system complexity. This parameter adaptation ensures that even services with limited data for adjustment can achieve accurate link adaptation.
Data Source
AI summary
The present disclosure relates to outer loop link adaptation adjustment methods and apparatus. In one example method, a base station obtains at least one piece of channel quality information of a terminal device, determines, based on the at least one piece of channel quality information of the terminal device and channel quality ranges of a plurality of clusters in a cell, a target cluster to which the terminal device belongs, updates a signal to interference plus noise ratio (SINR) error adjustment amount of the target cluster and a channel quality fluctuation parameter of the cell based on the at least one piece of channel quality information of the terminal device, and finally determines an initial value of an outer loop link adaptation (OLLA) adjustment amount of the terminal device based on the SINR error adjustment amount of the target cluster and the channel quality fluctuation parameter of the cell.